Gordon improves the accuracy and efficiency of the analysis (forecast initial conditions).
Gordon's areas of expertise include:
* Variational data assimilation
* Kalman filters
Gordon is studying methods for linking the assimilation of observational data into the NAE and the higher-resolution UKV versions of the Unified Model. This will maximise the impact of observations when determining the state of the atmosphere at the times at which the United Kingdom short-range forecast starts in order to further improve the forecast's accuracy.
Gordon seeks to improve the accuracy and efficiency of data assimilation algorithms by applying his knowledge of mathematics, physics, meteorology and computer programming to enhance the Met Office's operational data assimilation software.
The use of simple idealised models enables Gordon to explore the benefits of alternative approaches to data assimilation.
Following a degree in applied mathematics and a doctorate in MHD turbulence in solar and laboratory plasmas, Gordon stayed at the University of St Andrews for another eighteen months studying MHD reconnection as a postdoctoral researcher in the solar theory group . On joining the Met Office in 1996, his initial work in the Meteorological Research Flight (now part of Observation Based Research) focused on processing data from the research aircraft's inertial and satellite navigation systems, wind measuring system and temperature probes. His next post in the Orography group involved studying the theory of inertia-gravity waves. Gordon started his present job in 2003.
Gordon has also been involved in research into submarines at ARE Haslar in Gosport (now part of Qinetiq) and experimental nuclear fusion reactors at Culham Laboratory (now Culham Centre for Fusion Energy) through sponsorship of his respective degrees.
Last updated: 20 December 2013